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Archive | ISSUE: , Volume: Apr-Jun-2025

Estimation of above Ground Biomass in Gambari Forest Reserve, Nigeria Using Landsat Operational Land Imager (OLI) Data


Author: Mephors et al., 2025

published date:2025-May-27

FULL TEXT in - | page 117 - 124

Abstract

The study estimated the amount of carbon stock in Gambari Forest Reserve, Nigeria by measuring tree parameters diameter at breast height (DBH) and height in the forest reserve. Seven (7) sample plots (30m by 30m) were laid out in the reserve of tree species greater than 10 cm diameter at breast height and their total heights were collected. Tree attributes were measured and converted into carbon estimates using an allometric relationship. Regression analysis and correlation coefficient techniques were developed using normalized difference vegetation index (NDVI) generated from Landsat 8 OLI (Operational Land Imager) imagery of the year 2020 as a dependent variable and above-ground biomass (AGB) estimates from field plots as the independent variable. The estimate of AGB was 71535.989 Mg ha-1 (Metric tons per hectare), the carbon dioxide sequestered was 7145.0448tCO2-e ha-1 (tons of CO2/ha-1), the carbon dioxide emitted was 262537.08tCO-e ha-1 (tons of CO2/ha-1), and weight of carbon in the tree was estimated at 1946.879 Mg ha-1 (Metric tons per hectare). The regression analysis between NDVI and AGB showed a value of R2 of 0.540631 which suggests that NDVI predicts 54.1 % of the variation in AGB, while the correlation coefficient between AGB and NDVI showed a value of 0.735276 which suggests 73.5% variation between AGB and NDVI and equally suggests a high correlation. When estimated, plot 2 has the highest biomass of 20763.19 (metric tons), followed by plot 3 with 17347.63 (metric tons). The more parameters (heights and DBH) measured, the more the total above-ground biomass, weight of carbon, CO2 sequestered and emitted will be achieved

Keywords: Diameter at Breast Height, Normalized Difference, Vegetation Index,Above-Ground Biomass,

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